Exam Certified Data Engineer Associate topic 1 question 15 discussion

Array functions in Spark SQL allow you to work with complex, nested data ingested from JSON files. These functions can be used to extract data from nested structures, manipulate data within nested structures, and aggregate data within nested structures. The other options are not benefits provided by the array functions from Spark SQL. Option A: Array functions do not allow you to work with data in a variety of types at once. Option B: Array functions do not allow you to work with data within certain partitions and windows. Option C: Array functions do not allow you to work with time-related data in specified intervals. Option E: Array functions do not allow you to work with an array of tables for procedural automation. Therefore, the only benefit provided by the array functions from Spark SQL is the ability to work with complex, nested data ingested from JSON files.

D is correct because: Array functions in Spark SQL are particularly useful for working with complex, nested data structures, such as those commonly found in JSON files. These functions allow you to manipulate and query arrays and nested data within your DataFrame, making it easier with Hierarchical data. Option A is not specific to array functions. Spark SQL provides the ability to work with various array functions. Option B is an ability related to window functions and partitioning in Spark SQL, not specifically to array functions. Window functions allow you to perform operations across a set of table rows that are somehow related to the current row Option C is an ability related to time functions and interval operations in Spark SQL and not specific to array functions. Option E is an ability not specific to array functions as Spark SQL does not provide direct support for working with an array of tables for procedural automation through array functions.

Spark SQL array functions are particularly useful for working with complex and nested data structures, such as arrays, which are often found in semi-structured data formats like JSON. These functions allow users to manipulate and process array data directly, making it easier to handle nested structures without needing to flatten them upfront.

D. An ability to work with complex, nested data ingested from JSON files Array functions in Spark SQL allow you to work with complex and nested data structures, such as those found in JSON files, enabling operations on arrays and nested elements.

D is the correct one

The correct Answer is D

The correct answer is D.

D is the right answeer

i thought sql arrays are usually seen in json files read

E is correct

Correct answer is D

D. An ability to work with complex, nested data ingested from JSON files Array functions in Spark SQL enable users to work efficiently with arrays and complex, nested data structures that are often ingested from JSON files or other nested data formats. These functions allow manipulation, querying, and extraction of elements from arrays and nested structures within the dataset, facilitating operations on complex data types within Spark SQL.

Correct answer is D. Array provides complex nesting of data and it is easy to query. That's why we use arrays for definding data domains.

D is correct

D is the correct answer

array functions allow you to work with JSON data

D is right ans